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by rickycook
3656 days ago
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sure, but the maths involved with building a robot is not the same as doing user analytics etc. better to assume no knowledge when entering those fields, and learn on the job otherwise you learn a whole load of stuff you'll never need. you can't be a senior in a field you know nothing about, so these jobs will always have someone that knows that stuff and can pass on their knowledge. i can say for fairly certain that 90% of the engineering maths i did at uni will not be applicable to me in my career, and there's plenty of maths that would be applicable that i wasn't taught. considering that was a 6mo unit (and ignoring the fact that it was easily the one that burned me out fastest), that's a lot of wasted time. |
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But really, the engineering math curriculum has (or at least should have) three purposes. The first is to teach you logical reasoning and problem solving -- critical skills. The next is to provide you with a toolbox of techniques you can call upon to solve common problems in your field. Finally, the curriculum should provide you with the mathematical maturity to acquire the new mathematical tools that you need.
The last point directly relates to your second paragraph. I don't know very much about data analytics. If I (somehow) got hired into a big data role, the senior engineers will lack both the time and the desire to sit me down and give me the background on statistics, machine learning, etc. that I would need. However, because I have spent a lot of time studying other mathematical topics and have a background in linear algebra, probability, etc., they can point me at good sources and I can learn myself. If I came in just knowing single variable calculus from high school I would have a rough time.